xuzhikangnba

R-2-Trans

R^2-Trans: Fine-Grained Visual Categorization with Redundancy Reduction

API-Net

Learning Attentive Pairwise Interaction for Fine-Grained Classification, AAAI-2020

Awesome-LongTailed-Learning

A curated list of awesome deep long-tailed learning resources.

batchgenerators

A framework for data augmentation for 2D and 3D image classification and segmentation

cerebrovascular_segmentation

A novel statistical method for cerebrovascular segmentation

dataset

医学影像数据集列表

DeepCCA

An implementation of Deep Canonical Correlation Analysis (DCCA or Deep CCA) with pytorch.

FGVC-HERBS

Pytorch implementation of "Fine-grained Visual Classification with High-temperature Refinement and Background Suppression"

Fine-Grained-or-Not

Code release for Your “Flamingo” is My “Bird”: Fine-Grained, or Not (CVPR 2021 Oral)

groundingLMM

[CVPR 2024 🔥] Grounding Large Multimodal Model (GLaMM), the first-of-its-kind model capable of generating natural language responses that are seamlessly integrated with object segmentation masks.

LLM-for-Healthcare

ml-visuals

🎨 ML Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.

NeckBrainVesselSegmentation

nnUNet

NTS-Net

This is a PyTorch implementation of the ECCV2018 paper "Learning to Navigate for Fine-grained Classification" (Ze Yang, Tiange Luo, Dong Wang, Zhiqiang Hu, Jun Gao, Liwei Wang).

poster_template

some academic posters as references. May we have in-person poster session soon!

pytorch-classification-uncertainty

This repo contains a PyTorch implementation of the paper: "Evidential Deep Learning to Quantify Classification Uncertainty"

PyTorch_Tutorial

《Pytorch模型训练实用教程》中配套代码

SAT

The official repository for "One Model to Rule them All: Towards Universal Segmentation for Medical Images with Text Prompts"

segmentation_models.pytorch

Segmentation models with pretrained backbones. PyTorch.

simclr

SimCLRv2 - Big Self-Supervised Models are Strong Semi-Supervised Learners

Swin-Transformer

This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".

Swin-Unet

The codes for the work "Swin-Unet: Unet-like Pure Transformer for Medical Image Segmentation"

tf_oda_stanford_cars

Train a TensorFlow deep learning model to detect vehicle make/model.

TLC

PyTorch Implementation of the conference paper "Trustworthy Long-tailed Classification" (CVPR 2022)

TMC

The project page of paper: Trusted Multi-View Classification [ICLR'2021 paper]

TransFG

This is the official PyTorch implementation of the paper "TransFG: A Transformer Architecture for Fine-grained Recognition" (Ju He, Jie-Neng Chen, Shuai Liu, Adam Kortylewski, Cheng Yang, Yutong Bai, Changhu Wang, Alan Yuille).

vit-pytorch

Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

ViT-pytorch-1

Pytorch reimplementation of the Vision Transformer (An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale)

wenn

Multidimensional Uncertainty-Aware Evidential Neural Networks ( AAAI2021)